Integrate ShipStation with Mode

About ShipStation

ShipStation is a top-rated shipping software that simplifies the shipping process, allowing companies to manage, fulfill, and ship orders quickly and easily. This helps them streamline their operations and scale their business - no complications and no inefficiencies.

About Mode

As an advanced, high-speed data analytics platform, Mode helps you understand the information in your data warehouses. As a hybrid solution Mode lets (1) data teams customize queries and visualizations in Python, SQL, or R; and (2) empowers non-tech-savvy users to dive into visualizations and explore live-updating reports to get the data they need.

Popular Use Cases

Bring all your ShipStation data to Amazon Redshift

Load your ShipStation data to Google BigQuery

ETL all your ShipStation data to Snowflake

Move your ShipStation data to MySQL

Bring all your Mode data to Amazon Redshift

Load your Mode data to Google BigQuery

ETL all your Mode data to Snowflake

Move your Mode data to MySQL

Integrate ShipStation With Mode Today

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ShipStation's End Points

ShipStation Accounts

Scale your business and add new team members by easily registering a new account and generating APIs to be used by the newly created account.

ShipStation Customers

Get information about a specific customer or obtain a list of customers that match a certain criteria. This can help you better understand your audience and send targeted, segmented communication.

ShipStation Orders

Gain complete control over your orders - get new orders, create labels, update order status, and more - to streamline the order process and reduce inefficiencies.

ShipStation Products

Update a product, get a new product, or obtain a list of products that match a certain criteria. Then, use this data to better understand things like sales, customer satisfaction, and more.

ShipStation Shipments

Control everything shipment-related: list shipments, create new labels, get rates, void shipping labels, and more - all from one centralized ShipStation location.

ShipStation Stores

Maintain your stores as your business scales, updating them, refreshing, listing, or deactivating as needed.

ShipStation Users

List users and enter authorizations to to stay on top of your employees and keep your operation running smoothly and efficiently at all times.

Mode's End Points

Mode White-Label Embeds and Visualizations

Mode's White-Label Embeds allow you to integrate customized, interactive visualizations, and analytics into your applications — so your customers can access powerful reporting that seamlessly blends with your apps. White-Label Embeds also secure your data by ensuring that specific customers see appropriate information only. Lastly, Mode includes pre-built charts and the ability customize your visualizations in JavaScript, HTML, and CCS.

Mode SQL Editor

Mode's SQL editor features a schema browser to explore the tables and columns of your connected data sources. It also has an autocomplete function to assist with query writing, a query history to browse and reuse old queries, and advanced logic tools for creating loops, IF statements, and more.

Mode Helix Data Engine

The technology behind Mode's analytics solution is Helix, a high-performance in-memory data engine that combines modern drag-and-drop business intelligence tools with a code-first (SQL, Python, R) data science platform to offer an instantly responsive user experience. Mode streams query results into the Helix data engine to reduce database load, provide quick responsiveness, and give users the ability to visually navigate as much as 10 gigabytes of data.

Mode Dashboard Features

Powered by SQL, Python, and R, Mode dashboards display automatically-refreshing metrics without the need for proprietary tools. Customize your dashboards the way you want, with on-brand reporting and interactive features to facilitate collaboration with others across your organization.

Mode Native Python and R Notebooks

Mode features native Python and R Notebooks. This allows you to query in SQL, send the results to a dataframe in R or pandas, and conveniently access them in the platform's native Notebook. At the same time, a sidebar provides tips, shortcuts, and documentation to help you get the most of these features.

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